Use of vegetation indices to estimate indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy

Bartlett, D. S.; Whiting, Gary J.; Hartman, Jean Marie

doi:10.1016/0034-4257(89)90054-0

Cited by 99 publications

(55 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…fAPAR represents the ability of a vegetation cover to intercept and absorb incident radiation and can be derived from satellite data [5,6,30]. Using field measured values of fAPAR and the NDVI interpolation model [31], we computed the following relationship:…”

Section: Kumar-monteith Modelmentioning

confidence: 99%

“…The daily values of the NDVI were derived from the NDVI temporal profiles computed with Equations (2)-(4). The fAPAR values were then computed based on Equation (5).…”

Section: Mosicas Sugarcane Crop Modelmentioning

confidence: 99%

“…In addition to biomass estimation, remote sensing indices are used to estimate ecophysiological variables, such as the leaf area index [4] or fraction of intercepted photosynthetically active radiation (PAR) [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island

et al. 2014

View full text Add to dashboard Cite

Abstract:Estimating sugarcane biomass is difficult to achieve when working with highly variable spatial distributions of growing conditions, like on Reunion Island. We used a dataset of in-farm fields with contrasted climatic conditions and farming practices to compare three methods of yield estimation based on remote sensing: (1) an empirical relationship method with a growing season-integrated Normalized Difference Vegetation Index NDVI, (2) the Kumar-Monteith efficiency model, and (3) a forced-coupling method with a sugarcane crop model (MOSICAS) and satellite-derived fraction of absorbed photosynthetically active radiation. These models were compared with the crop model alone and discussed to provide recommendations for a satellite-based system for the estimation of yield at the field scale. Results showed that the linear empirical model produced the best results (RMSE = 10.4 t·ha −1). Because this method is also the simplest to set up and requires less input data, it appears that it is the most suitable for performing OPEN ACCESSRemote Sens. 2014, 6 6621 operational estimations and forecasts of sugarcane yield at the field scale. The main limitation is the acquisition of a minimum of five satellite images. The upcoming open-access Sentinel-2 Earth observation system should overcome this limitation because it will provide 10-m resolution satellite images with a 5-day frequency.

show abstract

Section: Kumar-monteith Modelmentioning

confidence: 99%

“…The daily values of the NDVI were derived from the NDVI temporal profiles computed with Equations (2)-(4). The fAPAR values were then computed based on Equation (5).…”

Section: Mosicas Sugarcane Crop Modelmentioning

confidence: 99%

See 1 more Smart Citation

Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island

et al. 2014

View full text Add to dashboard Cite

show abstract

“…These vegetation indices have been widely used since the 1970s as measures of fractional absorbed photosynthetically active radiation and green vegetation cover (e.g. Kumar & Monteith, 1981 ;Hatfield et al, 1984 ;Bartlett et al, 1990 ;Gamon et al, 1995). While NDVI is most widely applied at the canopy to global scales using remotely positioned spectroradiometers, a number of studies have noted a correlation between NDVI and chlorophyll content at the leaf scale (e.g.…”

Section: Reflectance Measurementmentioning

confidence: 99%

Assessing leaf pigment content and activity with a reflectometer

1999

View full text Add to dashboard Cite

This study explored reflectance indices sampled with a ' leaf reflectometer ' as measures of pigment content for leaves of contrasting light history, developmental stage and functional type (herbaceous annual versus sclerophyllous evergreen). We employed three reflectance indices : a modified normalized difference vegetation index (NDVI), an index of chlorophyll content ; the red\green reflectance ratio (R RED : R GREEN ), an index of anthocyanin content ; and the change in photochemical reflectance index upon dark-light conversions (∆PRI), an index of xanthophyll cycle pigment activity. In Helianthus annuus (sunflower), xanthophyll cycle pigment amounts were linearly related to growth light environment ; leaves in full sun contained approximately twice the amount of xanthophyll cycle pigments as leaves in deep shade, and at midday a larger proportion of these pigments were in the photoprotective, de-epoxidized forms relative to shade leaves. Reflectance indices also revealed contrasting patterns of pigment development in leaves of contrasting structural types (annual versus evergreen). In H. annuus sun leaves, there was a remarkably rapid increase in amounts of both chlorophyll and xanthophyll cycle pigments along a leaf developmental sequence. This pattern contrasted with that of Quercus agrifolia (coast live oak, a sclerophyllous evergreen), which exhibited a gradual development of both chlorophyll and xanthophyll cycle pigments along with a pronounced peak of anthocyanin pigment content in newly expanding leaves. These temporal patterns of pigment development in Q. agrifolia leaves suggest that anthocyanins and xanthophyll cycle pigments serve complementary photoprotective roles during early leaf development. The results illustrate the use of reflectance indices for distinguishing divergent patterns of pigment activity in leaves of contrasting light history and functional type.

show abstract

“…Under severe nitrogen deficiencies, chlorosis in leaves causes plants to reflect more in the red spectral region . The presence of non-green vegetation or non-leaf photosynthetically active organs (such as spikes and leaf sheaths of cereals) and changes in leaf erectness can also affect the spectral signature of the canopy (Aparicio et al 2002;Bartlett et al, 1990;Van Leeuwen & Huete, 1996); for high LAI values, the reflectivity decreases with greater leaf inclination in both the VIS and the NIR wavelengths (Verhoef & Bunnik, 1981). Radiation reflected perpendicularly from plant canopies has been reported to be greater for planophile than for erectophile canopies (Jackson & Pinter, 1986;Zhao et al, 2010).…”

Section: Canopy Attributesmentioning

confidence: 99%

Field Measurements of Canopy Spectra for Biomass Assessment of Small-Grain Cereals

Royo¹,

Villegas²

2011

Biomass - Detection, Production and Usage

View full text Add to dashboard Cite

Use of vegetation indices to estimate indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy

Cited by 99 publications

References 22 publications

Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island

Toward a Satellite-Based System of Sugarcane Yield Estimation and Forecasting in Smallholder Farming Conditions: A Case Study on Reunion Island

Assessing leaf pigment content and activity with a reflectometer

Field Measurements of Canopy Spectra for Biomass Assessment of Small-Grain Cereals

Contact Info

Product

Resources

About